{"id":13617,"date":"2025-10-16T20:15:32","date_gmt":"2025-10-16T18:15:32","guid":{"rendered":"https:\/\/www.ibisc.univ-evry.fr\/?page_id=13617"},"modified":"2025-10-16T20:15:32","modified_gmt":"2025-10-16T18:15:32","slug":"advance-2025-technical-session-4-short-papers-sp4-2","status":"publish","type":"page","link":"https:\/\/www.ibisc.univ-evry.fr\/en\/advance-2025-technical-session-4-short-papers-sp4-2\/","title":{"rendered":"ADVANCE 2025 – Technical Session 4 (Short Papers) – SP4.2"},"content":{"rendered":"
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ADVANCE 2025 Web site<\/strong><\/a><\/p>\n<\/div>

ADVANCE 2025 Proceedings<\/strong><\/a><\/p>\n<\/div>

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Modeling the Complexity of the Georgian Verbal System through Linked Data and Machine Learning<\/h2>\n

Elizbarashvili Archil\u00b9, Tsintsadze Magda\u00b2, Ducass\u00e9 Mireille\u00b3, Khachidze Manana\u2074<\/p>\n

\u00b9 Tbilisi State University, Tbilisi, Georgia (Email: archil.elizbarashvili@tsu.ge<\/em><\/a>) \u00b2 Tbilisi State University, Tbilisi, Georgia (Email: magda.tsintsadze@tsu.ge<\/em><\/a>) \u00b3 Universit\u00e9 de Rennes, IRISA, Rennes, France (Email: mireille.ducasse@irisa.fr<\/em><\/a>) \u2074 Tbilisi State University, Tbilisi, Georgia (Email: manana.khachidze@tsu.ge<\/em><\/a>)<\/p>\n

DOI: https:\/\/doi.org\/10.48545\/advance2025-shortpapers-4_2<\/a><\/p>\n

Abstract<\/h3>\n

The Georgian verbal system poses significant challenges due to its agglutinative and inflectional nature, lack of infinitives, rich morphological structure, and irregular patterns. To assist Georgian language learners and support lexicographic work, we are developing KARTUVERBS, a comprehensive linked-data platform for Georgian verb forms. This system integrates structured lexical data, semantic web technologies, and machine learning to infer missing lemmas (verbal nouns). Current results show a prediction accuracy of 98% using decision trees, with cross-validation against the Georgian National Corpus. This paper outlines our methodology, the unique linguistic challenges of Georgian, and future directions for integrating crowdsourcing and deep learning into the tool\u2019s development.<\/p>\n

Keywords<\/h3>\n

Linked data, machine learning, Georgian verbs, lexicography, verbal noun, decision tree<\/p>\n<\/div>

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